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Advancing Cybersecurity Practice: Explainable Machine Learning for Network Intrusion Detection

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Bibliographic Details
Published in:Journal of Cybersecurity Education, Research and Practice
Format: Online Article RSS Article
Published: 2025
Subjects:
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container_title Journal of Cybersecurity Education, Research and Practice
description
discipline_display Computer and Cyber Security
discipline_facet Computer and Cyber Security
format Online Article
RSS Article
genre Journal Article
id rss_article:77549
institution FRELIP
journal_source_facet Journal of Cybersecurity Education, Research and Practice
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Advancing Cybersecurity Practice: Explainable Machine Learning for Network Intrusion Detection
Computer and Cyber Security
General
Computer and Cyber Security
sub_discipline_display General
sub_discipline_facet General
subject_display Computer and Cyber Security
General
Computer and Cyber Security
Computer and Cyber Security
General
Computer and Cyber Security
subject_facet Computer and Cyber Security
General
Computer and Cyber Security
title Advancing Cybersecurity Practice: Explainable Machine Learning for Network Intrusion Detection
title_auth Advancing Cybersecurity Practice: Explainable Machine Learning for Network Intrusion Detection
title_full Advancing Cybersecurity Practice: Explainable Machine Learning for Network Intrusion Detection
title_fullStr Advancing Cybersecurity Practice: Explainable Machine Learning for Network Intrusion Detection
title_full_unstemmed Advancing Cybersecurity Practice: Explainable Machine Learning for Network Intrusion Detection
title_short Advancing Cybersecurity Practice: Explainable Machine Learning for Network Intrusion Detection
title_sort advancing cybersecurity practice: explainable machine learning for network intrusion detection
topic Computer and Cyber Security
General
Computer and Cyber Security
url https://digitalcommons.kennesaw.edu/jcerp/vol2025/iss1/25